Aplicación móvil para el control de asistencia de docentes universitarios con autenticación biométrica y verificación de geolocalización

Bruno Adrián Montañez-Díaz; Willy Francisco García-Gutiérrez; Raphael Andre Prieto-Pastor; Alberto Mendoza-De-los-Santos

doi:10.51252/rcsi.v4i2.647

Autores/as

Bruno Adrián Montañez-Díaz National University of Trujillo https://orcid.org/0009-0000-2462-5898
Willy Francisco García-Gutiérrez National University of Trujillo https://orcid.org/0000-0003-4186-6073
Raphael Andre Prieto-Pastor National University of Trujillo https://orcid.org/0000-0002-0973-2449
Alberto Mendoza-De-los-Santos National University of Trujillo https://orcid.org/0000-0002-0469-915X

DOI:

https://doi.org/10.51252/rcsi.v4i2.647

Palabras clave:

Amazon Rekognition, geoposicionamiento, huella digital, identificación inteligente, reconocimiento facial

Resumen

La carencia de un sistema de registro de asistencias eficiente representa un desafío tanto para los educadores como para las instituciones educativas, generando disrupciones en la planificación de clases y sus horarios, así como inquietudes acerca de la seguridad de la información del personal docente. Este estudio propone el desarrollo de una aplicación móvil para el control de asistencias docentes, integrando autenticación biométrica y verificación de geolocalización para fortalecer la seguridad en el registro. La evaluación de la aplicación, realizada con 24 participantes en la Universidad Nacional de Trujillo, revela un 95% de precisión en la autenticación biométrica y una significativa reducción en el tiempo de registro, con un tiempo promedio de 32,68 segundos. Además, los resultados de una encuesta reflejan una percepción positiva en cuanto a la seguridad por parte de los usuarios, consolidando la aceptación y confianza en la implementación de esta innovadora solución tecnológica.

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